重新评估双模式循环加法的DFT排名:准确的CCSD的影响 (T) 基准和新的双混合功能
Ruiqi Cong1, Rulin Feng1, Igor Ying Zhang1,2
1Research Center for Chemical Theory at Fudan, State Key Laboratory of Porous Materials for Separation and Conversion, Shanghai Key Laboratory of Molecular Catalysis and Innovation Materials, Collaborative Innovation Centre of Chemistry for Energy Materials, MOE Laboratory for Computational Physical Science, Department of Chemistry, Fudan University, Shanghai 200438, China.
参考数据的准确性对于基准测试密度函数近似值 (DFAs) 至关重要. 这项研究表明,DFA性能排名严重依赖于参考能源质量,其中XYG7表现出色. 对于下一代的功能数据,需要高精度的多引用数据.
科学领域:
- 计算化学是一种计算化学.
- 量子化学是一种量子化学.
- 理论化学是一种理论化学.
背景情况:
- 准确的参考数据对于评估现代密度函数近似值 (DFAs) 是必不可少的.
- 之前对两种模式循环添加反应的基准研究需要重新审查,因为可能存在参考数据质量问题.
研究的目的:
- 重新评估最近一项关于双模态循环添加反应的基准研究.
- 评估领先的DFAs性能排名对参考能量的质量敏感度.
- 为了确定强大的DFA,并突出需要改进的多参考数据.
主要方法:
- 使用单一,双重和扰动性三重激发的正规合集群理论 [CCSD(T) ]作为严格的参考.
- 采用CASPT2 (完整的活性空间二次扰动理论) 作为强相关系系统的补充参考.
- 在不同的高精度参考框架中交叉验证DFA性能.
主要成果:
- 领先的DFA的性能排名对参考能量的质量非常敏感.
- XYG3型双混合动力 (xDH) 功能XYG7在CCSD (T) 基准测试中表现出最高的性能.
- 重新规范化的双混合功能R-xDH7-SCC15在CCSD (T) 和CASPT2参考框架中表现一致.
结论:
- 仅仅依靠单一参考基准对评估DFA有局限性.
- 对于下一代密度函数的正确评估,迫切需要高精度的多引用数据.
- 开发和验证DFAs需要强大可靠的参考数据集.
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